Role overview

Qualifications

Minimum Experience: 6-8 years of experience in AI/ML development with hands-on experience using Azure AI Foundry and related services.
Strong programming skills in languages such as Python, C#, or equivalent.
Experience with large language models, prompt design, and AI integration.
Familiarity with Azure services, particularly Azure DevOps, Azure Machine Learning, and Cognitive Services.

Responsibilities

Build, fine-tune, and deploy AI models using the Azure AI Foundry platform.
Design and optimize AI pipelines for scalability, performance, and cost-effectiveness.
Implement prompt engineering and other techniques for effective model interaction and performance.
Work with business stakeholders to understand requirements and translate AI concepts into deployable solutions.

Key facts

Remote from: Anywhere
Full time
Senior (5-10 years)
Cloud Architect
English

Hard skills

Microsoft Azure

About the company

MDA Edge

Our objective is to establish an exceptional ecosystem by connecting individuals, technology, and prospects through the application of human intelligence.MDA Edge is a process-oriented company and our expertise lies in providing comprehensive Workforce Solutions, specifically focusing on Contingent Staffing, Bulk/Project Staffing, RPO/KPO/BPO, and Direct Hire services. We cater to a wide range of industries, including Infrastructure Consulting, Engineering Consulting, IT Consulting, Healthcare, Life Sciences, Pharmaceutical Consulting, Consumer Goods, Education, Transportation & Logistics, Media & Entertainment, Telecom, BFSI, Manufacturing, Utilities & Energies, and Corporate Recruitment. Moreover, we have developed a dedicated focus on Government Consulting.Our company prides itself on a meticulous approach, ensuring that we meet your specific needs. We have established a robust network of highly skilled professionals who are readily available to fulfill your requirements. With a strong commitment to excellence, we consistently deliver exceptional results for clients in India, Denmark, France, Germany, Ireland, Japan, Spain, Thailand, the USA, Canada and Mexico, with ongoing expansion efforts to serve more new regions in the near future.We consistently uphold the highest standards of quality by providing resources, time, and materials to design, implement, and support efficient operations for organizations. Our track record of measurable accomplishments demonstrates our commitment to cultivating a balanced work and societal ecosystem.Our continuous growth, successful customer engagements, and strong customer retention exemplify our achievements. Furthermore, our passion lies in streamlining complex business processes through the application of suitable technology, which has been integral to our success.We extend an invitation to join our dynamic workplace, offering rapid growth opportunities, excellent employee benefits, and a positive work-life balance.

Company details

Company typeScaleup

Company size201 - 500

Links

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Job description

As an Azure AI Foundry you will be involved in building, fine-tuning, and deploying AI/ML models, designing AI pipelines, and integrating them with enterprise applications using Azure services like Azure Machine Learning, Azure DevOps, and Cognitive Services. Key responsibilities include working with large language models (LLMs) and prompt engineering, collaborating with stakeholders, and applying best practices for AI development and deployment. The ideal candidate will have strong programming skills, experience with Azure DevOps, and a background in AI/ML development.
Ideal applicant should have expertise in:

AI Services Integration – particularly with Azure Cognitive Services (vision, language, speech) and Azure Machine Learning
End-to-End AI Lifecycle Management – including data ingestion, preprocessing, model training, evaluation, and deployment

Key responsibilities:

Model Development: Build, fine-tune, and deploy AI models using the Azure AI Foundry platform, which includes a catalog of frontier and open-source models from partners like OpenAI and Hugging Face.
Pipeline and Integration: Design and optimize AI pipelines for scalability, performance, and cost-effectiveness. Integrate AI models and agents with enterprise applications.
Prompt Engineering: Implement prompt engineering and other techniques for effective model interaction and performance.
Stakeholder Collaboration: Work with business stakeholders to understand requirements and translate AI concepts into deployable solutions.
DevOps and CI/CD: Apply best practices in AI development, testing, and deployment using tools like Azure DevOps and Git for CI/CD pipelines.
Responsible AI: Implement and adhere to responsible AI practices throughout the development lifecycle.

Required qualifications and skills:

Minimum Experience: 6-8 years of experience in AI/ML development with hands-on experience using Azure AI Foundry and related services.
Programming: Strong programming skills in languages such as Python, C#, or equivalent.
LLMs: Experience with large language models, prompt design, and AI integration.
Azure: Familiarity with Azure services, particularly Azure DevOps, Azure Machine Learning, and Cognitive Services.
Collaboration: Ability to work collaboratively in an agile environment and strong problem-solving skills.
Tools: Familiarity with Git and CI/CD pipelines.